£103.93

Springer Statistical Analysis for High-Dimensional Data Book

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Description

Explore cutting-edge research in the field of statistics with Statistical Analysis for High-Dimensional Data. This volume contains research contributions from The Abel Symposium held in Nyvagar, Lofoten, Norway. It provides a deep look into statistical and machine learning methodologies designed for inference in big data environments. This book is particularly useful for those working with genomic applications and large-scale data sets. The contributors include prominent researchers specializing in the theory of statistics for high dimensional inference. Readers will find new theories, practical methods, and computational solutions to complex problems. Whether you are studying advanced machine learning or looking for new statistical frameworks, this collection offers valuable insights into modern data science challenges.

Key Features

Covers advanced statistical and machine learning methodologies developed for big data inference.

Includes specialized research regarding genomic applications and high dimensional data sets.

Presents new theories and methods from prominent researchers in the field of statistics.

Provides practical computational solutions and challenging real-world applications.

Features comprehensive research contributions from The Abel Symposium 2014.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 March 2016
Listed Since
21 October 2015

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